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Performance Bounds Analysis for Semi-Blind Channel Estimation with Pilot Contamination in Massive MIMO-OFDM Systems

机译：大规模MIMO-OFDM系统中具有导频污染的半盲信道估计的性能边界分析

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Pilot contamination, in a massive Multiple-Input Multiple-Output (MIMO) system, is an undeniable challenging issue severely affecting the performance of the system by including channel estimation errors. The aim of this paper is to investigate the effectiveness of semi-blind channel estimation approaches in massive MIMO-OFDM (Orthogonal-Frequency Division-Multiplexing) systems. For an estimator-independent study, the performance analysis is carried out using the Cramer Rao Bound (CRB) derivation for pilot-based and semi-blind channel estimation strategies. This analysis demonstrates in particular that: (i) when considering the finite alphabet nature of communication signals, it is possible to efficiently solve the pilot contamination problem with semi-blind channel estimation approach; and (ii) the Second Order Statistics (SOS) only are not sufficient to address the full channel identifiability even if the semi-blind approach is considered.
机译：在大规模的多输入多输出（MIMO）系统中，导频污染是一个不可否认的具有挑战性的问题，它通过包含信道估计误差而严重影响了系统的性能。本文的目的是研究在大规模MIMO-OFDM（正交频分多路复用）系统中半盲信道估计方法的有效性。对于独立于估计器的研究，使用Cramer Rao Bound（CRB）推导对基于飞行员和半盲信道的估计策略进行性能分析。该分析尤其表明：（i）当考虑通信信号的有限字母性质时，可以使用半盲信道估计方法有效地解决导频污染问题; （ii）即使考虑了半盲法，二阶统计量（SOS）仍不足以解决整个通道的可识别性。

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